Background color for cell id.
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@@ -187,8 +187,15 @@ if __name__ == "__main__":
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plt.figure(figsize=[6.4 * scaley, 4.8 * scalex])
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plt.title("{} with {}".format(transmission_direction, cc_algo))
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host = host_subplot(111, axes_class=axisartist.Axes)
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plt.subplots_adjust()
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fig, ax = plt.subplots()
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fig.subplots_adjust(right=0.75)
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twin1 = ax.twinx()
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twin2 = ax.twinx()
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# Offset the right spine of twin2. The ticks and label have already been
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# placed on the right by twinx above.
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twin2.spines.right.set_position(("axes", 1.2))
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# create list fo color indices
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transmission_df["index"] = transmission_df.index
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@@ -208,35 +215,33 @@ if __name__ == "__main__":
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cmap = matplotlib.cm.get_cmap("Set3")
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for c in transmission_df["cell_color"].unique():
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bounds = transmission_df[["index", "cell_color"]].groupby("cell_color").agg(["min", "max"]).loc[c]
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host.axvspan(bounds.min(), bounds.max(), alpha=0.3, color=cmap.colors[c])
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ax.axvspan(bounds.min(), bounds.max(), alpha=0.3, color=cmap.colors[c])
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p1, = ax.plot(transmission_df["goodput_rolling"], "-", color="blue", label="goodput")
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p2, = twin1.plot(transmission_df["downlink_cqi"], "--", color="green", label="CQI")
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p3, = twin2.plot(transmission_df["ack_rtt"], "-.", color="red", label="ACK RTT")
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host.plot(transmission_df["goodput_rolling"], "-", color="blue", label="goodput")
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host.set_xlabel("datetime")
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host.set_ylabel("goodput [Mbps]")
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host.set_ylim([0, 500])
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ax.set_xlim(transmission_df["index"].min(), transmission_df["index"].max())
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ax.set_ylim(0, 500)
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twin1.set_ylim(0, 15)
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twin2.set_ylim(0, 1)
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# additional y axes
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par11 = host.twinx()
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par12 = host.twinx()
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#par13 = host.twinx()
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ax.set_xlabel("Time")
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ax.set_ylabel("Goodput")
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twin1.set_ylabel("CQI")
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twin2.set_ylabel("ACK RTT")
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# axes offset
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par12.axis["right"] = par12.new_fixed_axis(loc="right", offset=(60, 0))
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#par13.axis["right"] = par13.new_fixed_axis(loc="right", offset=(120, 0))
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ax.yaxis.label.set_color(p1.get_color())
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twin1.yaxis.label.set_color(p2.get_color())
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twin2.yaxis.label.set_color(p3.get_color())
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par11.axis["right"].toggle(all=True)
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par12.axis["right"].toggle(all=True)
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#par13.axis["right"].toggle(all=True)
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par11.plot(transmission_df["downlink_cqi"], "--", color="green", label="CQI")
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par11.set_ylabel("CQI")
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par11.set_ylim([0, 15])
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par12.plot(transmission_df["ack_rtt"], "-.", color="red", label="ACK RTT")
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par12.set_ylabel("ACK RTT [s]")
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par12.set_ylim([0, 1])
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tkw = dict(size=4, width=1.5)
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ax.tick_params(axis='y', colors=p1.get_color(), **tkw)
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twin1.tick_params(axis='y', colors=p2.get_color(), **tkw)
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twin2.tick_params(axis='y', colors=p3.get_color(), **tkw)
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ax.tick_params(axis='x', **tkw)
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ax.legend(handles=[p1, p2, p3])
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if args.save:
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plt.savefig("{}timeline_plot.pdf".format(args.save))
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